基于混沌和填充函数的全局优化算法

The Global Optimization Algorithm Based on Chaos Optimization and Filled Function

本文把混沌优化算法和无参数填充函数有机结合起来,在提出一类无参数填充函数和证明其填充性质的基础上,构造出一种混合优化算法,该算法提高了全局最优解的精度和算法效率.按照理论分析设计了一个基于混沌的无参填充函数全局优化算法,理论分析和数值实验结果证明了算法的有效性和优越性.

Based on the chaos optimization and the filled function algorithm, proposing a kind of parameter-free filled function, we discuss and prove the filled properties, then this paper proposes a hybrid global optimization algorithm. The algorithm improves not only the quality of global convergence but also the algorithm efficiency. Numerical experiments show that the method is effective.